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2016
DOI: 10.1016/j.jaap.2016.04.013
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Pyrolysis products from industrial waste biomass based on a neural network model

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Cited by 113 publications
(42 citation statements)
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“…To demonstrate the promotion mechanism, the transient response tests using H 2 18 O over Ni/LaAlO 3 , Ni/Sr/ LaAlO 3 and Ni/La 0.7 Sr 0.3 AlO 3-δ were conducted. The results revealed that the 18 O products were only detected over the Ni/La 0.7 Sr 0.3 AlO 3-δ catalyst derived from the redox of lattice oxygen in the catalyst and H 2 18 O. Therefore, the lattice oxygen in the Sr modified Ni/LaAlO 3 catalyst Ni/La 0.7 Sr 0.3 AlO 3-δ worked as an active oxygen compound to promote the reforming of toluene and the suppression of carbon deposition [201][202][203].…”
Section: Promotion With Alkaline-earth Metalsmentioning
confidence: 98%
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“…To demonstrate the promotion mechanism, the transient response tests using H 2 18 O over Ni/LaAlO 3 , Ni/Sr/ LaAlO 3 and Ni/La 0.7 Sr 0.3 AlO 3-δ were conducted. The results revealed that the 18 O products were only detected over the Ni/La 0.7 Sr 0.3 AlO 3-δ catalyst derived from the redox of lattice oxygen in the catalyst and H 2 18 O. Therefore, the lattice oxygen in the Sr modified Ni/LaAlO 3 catalyst Ni/La 0.7 Sr 0.3 AlO 3-δ worked as an active oxygen compound to promote the reforming of toluene and the suppression of carbon deposition [201][202][203].…”
Section: Promotion With Alkaline-earth Metalsmentioning
confidence: 98%
“…In general, within the gasification process,, a series of reactions, such as cracking, reforming, condensation, polymerization, oxidation and gasification reactions, take place in the presence of air, steam and CO 2 [16,17]. The final products of the entire biomass gasification process contain synthetic gas (such as H 2 , CO, CO 2 and CH 4 ), condensable tar, and solid char [18].…”
Section: Biomass Gasificationmentioning
confidence: 99%
“…Table 1a and Table 1b present the literature contributions in this field. The use of wood waste [15,[23][24][25][26] and agricultural residues [16,17,27,28] as feedstock are common in the literature due to its low market value and availability [29,30]. The related variables with output can be used to reach more accurate results.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Unlike a programmed model, an ANN model is a trained system that has adaptability and improved accuracy with updated data . It has been applied to predict the process parameters of biomass conversion such as oil extraction yields, kinetic parameters of pyrolysis, and selectivity of pyrolysis products . However, to the best of our knowledge, ANN has not been applied to the steam‐activation process to predict AC yield and surface area.…”
Section: Introductionmentioning
confidence: 99%